Single Image Atmospheric Veil Removal Using New Priors

From an analysis of the priors used in previous algorithms for single image defogging, a new prior is proposed to obtain a better atmospheric veil removal. The Naka-Rushton function is used to modulate the atmospheric veil according to empirical observations on synthetic foggy images. The parameters of this function are set from features of the input image. The algorithm is able to take into account different kinds of airborne particles and different illumination conditions. The proposed method is extended to nighttime and underwater images by computing the atmospheric veil on each color channel. Qualitative and quantitative evaluations show the benefit of the proposed algorithm.